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Vehicle body color recognition method, system and device and computer readable medium

A technology of color recognition and color classification, applied in the fields of devices, computer readable media, systems, and body color recognition methods, can solve the problems of long time-consuming body color recognition, long generation time, and poor real-time performance, and achieve small data volume and small size Small, speed- and precision-improving effects

Inactive Publication Date: 2019-12-31
DONGGUAN ZKTECO ELECTRONICS TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, due to the long generation time of HOG features and SIFT features, and the large amount of calculation of SVM model or kNN nearest neighbor model, the recognition of body color takes a long time and the real-time performance is poor.

Method used

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  • Vehicle body color recognition method, system and device and computer readable medium
  • Vehicle body color recognition method, system and device and computer readable medium
  • Vehicle body color recognition method, system and device and computer readable medium

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] The terms "first", "second", "third", "fourth", etc. (if any) in the description of the present application and the above drawings are used to distinguish similar objects and not necessarily to describe specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments described herein can be prac...

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Abstract

The invention discloses a vehicle body color recognition method, system and device and a computer readable storage medium. The vehicle body color recognition method intercepts a picture of a vehicle body color effective feature region from a vehicle body color picture according to license plate position information, takes the picture as a to-be-identified picture and inputting the to-be-identifiedpicture into a trained vehicle body color identification model based on a CNN network structure, enables the vehicle body color recognition model to extract features in the to-be-recognized picture and predict the vehicle body color category, outputs the prediction result of the vehicle body color category, and achieves automatic extraction of vehicle body color picture features and prediction ofthe vehicle body color category, wherein the size of the to-be-recognized picture obtained through interception is small, and interference information is little, and the data size is small, and the speed and precision of vehicle body color recognition are improved.

Description

technical field [0001] The present invention relates to the technical field of machine vision recognition, in particular to a vehicle body color recognition method, system, device and computer readable medium. Background technique [0002] With the improvement of machine vision recognition technology, body color recognition technology continues to improve. [0003] Body color is a key feature of vehicles. In places such as traffic buckles and parking lot entrances and exits, the recognition of body color can provide an important auxiliary function for the confirmation of vehicle information. Existing technologies are usually based on artificially designed Histogram of Oriented Gradient (HOG, Histogram of Oriented Gradient) features or scale-invariant feature transform (SIFT, Scale-invariant feature transform) features, using Support Vector Machine (SVM, Support VectorMachine) models or The k-nearest neighbor (kNN, k-Nearest Neighbor) model is used to complete the recognitio...

Claims

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Application Information

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IPC IPC(8): G06K9/46G06K9/32G06N3/04
CPCG06V10/25G06V10/56G06V20/625G06N3/045
Inventor 周庆标古川南李治农
Owner DONGGUAN ZKTECO ELECTRONICS TECH